Designing with Love

A course can feel fair and still be unfair if it forces every learner to take the same route. We’re seeing a major shift in instructional design and online education: learning experiences are moving from fixed pathways to adaptive pathways that respond to learner needs, performance, and progress. The exciting part isn’t the tech itself. It’s the chance to offer the right support at the right moment without building a separate course for every person. We dig into what adaptive learning really me

Technology can personalize learning, automate tasks, and deliver faster feedback, but it can also leave learners confused, overwhelmed, and tired. We dig into a simple question every instructional designer and educator needs to ask right now: what does the learning experience actually feel like for the learner? We build on the Future Ready Learning series with a human-centered approach to edtech, AI in education, and learning experience design. Instead of starting with shiny features, we start

AI can write a quiz question in seconds, but it cannot tell you what your learners truly need or what’s ethical, accessible, and aligned. That’s the tension Jackie's unpacking as we continue the series Future Ready Learning: Designing Education for What Comes Next. If generative AI feels exciting and overwhelming at the same time, you’re not alone, and you’re not doing it wrong. The goal is not to ban AI or hand over the design process, but to use it with intention while keeping human judgment i

2027 is closer than it feels, and the future of learning is already showing up in the tools we use, the questions learners ask, and the pressure to prove real value in education and training. Jackie is kicking off a new 14-part series, Future-Ready Learning, with a practical challenge for instructional designers and educators: stop treating “the future” like a shiny tech wishlist and start designing learning that helps people grow, adapt, and apply what they know in real contexts. We dig into t